Enriching Data Visualizations with Annotations in Plotly [PyOhio 2021]
Thunder Talk by Reshama Shaikh at PyOhio 2021.
Plotly is a versatile Python graphing library which lets us make interactive graphs. In this talk, I will show how to go from a typical static visualization to one enriched with annotations which will convey to your audience a more complete interpretation of your visualization. The examples use COVID-19 data from the Johns Hopkins data repository. The inspiration for this project was: "An evidence review of face masks against COVID-19" (https://www.pnas.org/content/118/4/e2...)
GitHub repo: https://github.com/reshamas/pyohio-pl...
PyOhio talk listing: https://www.pyohio.org/2021/program/t...
#datascience #dataviz #covid19